Qinwang Xing

Dr. Qinwang Xing

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 March 2023 in Fish and Fisheries
Verified
Journal Article
Closed access
QXQinwang Xing
Qinwang Xing
HYHaiqing Yu
Haiqing Yu
HWHui Wang
Hui Wang
SIShin‐Ichi Ito
Shin‐Ichi Ito
FCFei Chai
Fei Chai

14 May 2024 in Nature Communications
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Journal Article
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QXQinwang Xing
Qinwang Xing
HYHaiqing Yu
Haiqing Yu
HWHui Wang
Hui Wang
Ocean fronts, characterized by narrow zones with sharp changes in water properties, are vital hotspots for ecosystem services and key regulators of regional and global climates. Global change is reshaping the distribution of material and energy in the ocean; however, it remains unclear how fronts have varied in the last few decades. Here, we present a global, fine-scale digital atlas of persistent fronts around Large Marine Ecosystems and demonstrate significant global increases in both their occurrence and intensity. In subtropical regions (around boundary currents and upwelling systems) and polar regions, persistent frontal occurrence and intensity are rapidly increasing, while in tropical regions, they remain stable or slightly decrease. These enhancements may be respectively related to changes in boundary currents, upwelling, and sea ice retreat. This spatially heterogeneous trend holds important implications for the redistribution of front-related ecosystem services and air-sea interactions but has not been captured by representative high-resolution climate projections models or observation-assimilated ocean models.


5 August 2024 in Science of The Total Environment
Verified
Journal Article
Closed access
QXQinwang Xing
Qinwang Xing
HYHaiqing Yu
Haiqing Yu
HWHui Wang
Hui Wang
SIShin-Ichi Ito
Shin-Ichi Ito
WYWei Yu
Wei Yu

24 June 2025 in Earth System Science Data
Verified
Journal Article
Open access
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QXQinwang Xing
Qinwang Xing
HYHaiqing Yu
Haiqing Yu
WYWei Yu
Wei Yu
Xinjun ChenXinjun Chen
Xinjun Chen
HWHui Wang
Hui Wang
Ocean fronts have garnered significant attention from researchers across various scientific disciplines due to their profound ecological and climatic impacts. The development of front detection algorithms has enabled the automatic extraction of frontal information from satellite observations, providing valuable tools for understanding the biophysical interactions within marine ecosystems. However, the lack of comprehensive validation and comparison of cross-satellite products against in situ observations, along with limited accessibility to frontal datasets, must be addressed to enable the broader application of front detection algorithms. This study promoted the improved histogram-based front detection algorithm to global oceans with additional enhancements, generating the first publicly available, high-resolution, daily global mesoscale front dataset spanning from 1982 to 2023 (Xing et al., 2024a, https://doi.org/10.5281/zenodo.14373832). Global validation using in situ underway observations shows that most in situ and satellite-detected fronts can be matched with each other, with high temporal and spatial consistency, demonstrating the dataset's acceptable performance in detecting fronts. Cross-dataset comparisons reveal that multi-satellite blended products offer the best front detection performance, followed by observation-assimilated ocean model products, while single-satellite and purely simulated products show the lowest performance. In addition, in situ observations show a strong spatial resemblance to global frontal frequency, providing independent validation of the satellite-based global frontal occurrence map. These results enhance confidence in the application of satellite-based front detection, and our global front dataset and detection algorithm may be valuable for both regional and global studies in marine ecology, fisheries, ocean dynamics, and climate change.

21 December 2023 in Remote Sensing
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Journal Article
Open access
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HYHaiqing Yu
Haiqing Yu
JMJie Ma
Jie Ma
HWHui Wang
Hui Wang
QXQinwang Xing
Qinwang Xing
LJLin Jiang
Lin Jiang
Increasing evidence has shown that marine heatwaves (MHWs) have destructive impacts on marine ecosystems, and understanding the causes of these events is beneficial for mitigating the associated adverse effects on the provision of ecosystem services. During the 2019/20 boreal winter, a long-lasting extreme MHW event was recorded (over 90 days) in the Yellow Sea (YS). Observations and numerical experiments revealed that the unprecedented winter MHW event was initiated and sustained by a significant decrease in ocean heat loss in the YS, which may be associated with the pronounced weakening of the Siberian high system induced by an extreme positive Arctic Oscillation (AO) event. A weakened northerly wind is the essential prerequisite, while the extreme AO event is only a trigger for the winter MHW in the YS. It was also found that the extreme winter MHW event is likely to substantially affect the seasonal evolution of the vertical thermal structure, which may have a great impact on the whole ecosystem in the YS. This study provides new insights for the prediction of winter MHWs in the YS, as well as their effects on marine ecosystems in a changing climate.